Google Compute Engine Machine Type n2-highcpu-64
Balanced Google Compute Engine machine type n2-highcpu-64 with 64 vCPU and 64 GB memory. Available in 35 Google Cloud regions. Not all CPU platforms are available in all regions.
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Google Cloud VM n2-highcpu-64
Technical facts about the Google Compute Engine machine type n2-highcpu-64.
| Series | N2 |
|---|---|
| Family | Balanced |
| vCPU | 64 |
| Memory | 64 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.8 GHz |
| CPU Turbo Frequency | 3.4 GHz |
| CPU Max. Turbo Frequency | 3.9 GHz |
| EEMBC CoreMark Benchmark (?) | 1070807 |
| EEMBC CoreMark Standard Deviation | 0.87 % |
| EEMBC CoreMark Sample Count | 940 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 32 Gbps |
| Network Tier 1 | 75 Gbps |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ✔️ |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ✔️ |
| GCE API Description | 64 vCPUs 64 GB RAM |
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Costs (Pricing) for n2-highcpu-64
Average cost and pricing across all regions for Google Cloud VM n2-highcpu-64.
| Avg. costs per hour | 2.7825 |
|---|---|
| Avg. costs per month with sustained use discount (SUD) | 1625.41 |
| Avg. costs per month with 1 year commitment (CUD) | 1276.2 |
| Avg. costs per month with 3 year commitment (CUD) | 911.59 |
Costs and pricing for Google Compute Engine machine type n2-highcpu-64 in Google Cloud regions in which the VM is available.
| Region | Location | #Zones | #Platf. | Hour ⬇️ | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 5 | 2 | 2.2943 | 1340.19 SUD | 1055.12 | 753.69 |
| us-east1 | South Carolina | 4 | 2 | 2.2943 | 1340.19 SUD | 1055.12 | 753.69 |
| us-east5 | Columbus | 3 | 2 | 2.2943 | 1340.19 SUD | 1055.12 | 753.69 |
| us-west1 | Oregon 🍃 | 3 | 2 | 2.2943 | 1340.19 SUD | 1055.12 | 753.69 |
| me-west1 | Tel Aviv | 3 | 1 | 2.5237 | 1474.21 SUD | 1160.64 | 829.06 |
| europe-west1 | Belgium 🍃 | 3 | 2 | 2.5238 | 1474.25 SUD | 1160.66 | 829.05 |
| europe-west4 | Netherlands | 3 | 2 | 2.5258 | 1475.45 SUD | 1161.6 | 829.75 |
| northamerica-northeast1 | Montréal 🍃 | 3 | 2 | 2.5258 | 1475.45 SUD | 1161.6 | 829.65 |
| northamerica-northeast2 | Toronto 🍃 | 3 | 1 | 2.5258 | 1475.45 SUD | 1161.6 | 829.65 |
| europe-north1 | Finland 🍃 | 3 | 1 | 2.5261 | 1475.6 SUD | 1161.6 | 829.75 |
| us-west4 | Las Vegas | 3 | 2 | 2.5839 | 1509.4 SUD | 1128.99 | 806.43 |
| us-east4 | Northern Virginia | 3 | 2 | 2.5841 | 1509.47 SUD | 1128.99 | 806.43 |
| asia-east1 | Taiwan | 3 | 2 | 2.6565 | 1551.79 SUD | 1221.73 | 872.68 |
| europe-west8 | Milan | 3 | 1 | 2.6614 | 1554.62 SUD | 1223.94 | 874.28 |
| europe-west9 | Paris 🍃 | 3 | 1 | 2.6614 | 1554.62 SUD | 1223.94 | 874.28 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 2.7072 | 1581.42 SUD | 1245.05 | 889.35 |
| us-south1 | Dallas | 3 | 1 | 2.7072 | 1581.42 SUD | 1245.05 | 889.35 |
| asia-south1 | Mumbai | 3 | 2 | 2.7557 | 1609.74 SUD | 1267.19 | 905.2 |
| asia-south2 | Delhi | 3 | 2 | 2.7557 | 1609.74 SUD | 1267.19 | 905.2 |
| us-west2 | Los Angeles | 3 | 2 | 2.7558 | 1609.78 SUD | 1267.37 | 905.29 |
| us-west3 | Salt Lake City | 3 | 2 | 2.7558 | 1609.78 SUD | 1267.37 | 905.29 |
| asia-southeast1 | Singapore | 3 | 2 | 2.8304 | 1653.37 SUD | 1301.57 | 929.73 |
| asia-northeast2 | Osaka | 3 | 1 | 2.9463 | 1721.07 SUD | 1355.02 | 967.9 |
| asia-northeast3 | Seoul | 3 | 2 | 2.9463 | 1721.07 SUD | 1355.02 | 967.9 |
| asia-northeast1 | Tokyo | 3 | 2 | 2.9464 | 1721.11 SUD | 1355.02 | 967.85 |
| europe-central2 | Warsaw | 3 | 2 | 2.956 | 1726.75 SUD | 1358.2 | 970.09 |
| europe-west2 | London | 3 | 2 | 2.956 | 1726.75 SUD | 1358.2 | 970.09 |
| europe-west3 | Frankfurt | 3 | 2 | 2.956 | 1726.75 SUD | 1358.2 | 970.09 |
| asia-southeast2 | Jakarta | 3 | 1 | 3.0851 | 1802.17 SUD | 1418.71 | 1013.4 |
| europe-west6 | Zurich 🍃 | 3 | 2 | 3.2095 | 1874.8 SUD | 1476.02 | 1054.33 |
| asia-east2 | Hong Kong | 3 | 1 | 3.2102 | 1875.21 SUD | 1476.31 | 1054.52 |
| australia-southeast1 | Sydney | 3 | 2 | 3.2555 | 1901.68 SUD | 1497.84 | 1069.89 |
| australia-southeast2 | Melbourne | 3 | 2 | 3.2555 | 1901.68 SUD | 1497.84 | 1069.89 |
| southamerica-west1 | Santiago | 3 | 1 | 3.2808 | 1916.47 SUD | 1508.83 | 1077.77 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 3.6419 | 2127.41 SUD | 1675.33 | 1196.64 |
Operating System Licenses Costs for n2-highcpu-64
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n2-highcpu-64.
| SUSE Linux Enterprise Server | 80.3 |
|---|---|
| Red Hat Enterprise Linux | 94.9 |
| Microsoft Windows Server | 2149.12 |
| SUSE Linux Enterprise Server for SAP | 299.3 |
| SUSE Linux Enterprise Server for SAP w. 1 year CUD | 119.94 |
| SUSE Linux Enterprise Server for SAP w. 3 year CUD | 107.75 |
| Red Hat Enterprise Linux for SAP | 164.25 |
Machine Types with 64 vCPU
| Name ⬇️ | vCPU | Memory | Avg. costs per hour | Avg. costs per month | |||||
|---|---|---|---|---|---|---|---|---|---|
| m3-megamem-64 | 64 | +912.00 | 976 | Intel SAP HANA | +5.35 | 8.1339 | +4312.31 | 5937.72 | Compare |
| m3-ultramem-64 | 64 | +1888.00 | 1952 | Intel SAP HANA | +10.97 | 13.7533 | +8414.51 | 10039.92 | Compare |
| n1-highcpu-64 | 64 | -6.40 | 57.6 | Intel | -0.02 | 2.7627 | -213.65 | 1411.76 SUD | Compare |
| n1-highmem-64 | 64 | +352.00 | 416 | Intel SAP HANA | +1.83 | 4.6122 | +731.41 | 2356.82 SUD | Compare |
| n1-standard-64 | 64 | +176.00 | 240 | Intel SAP | +0.92 | 3.704 | +267.32 | 1892.73 SUD | Compare |
| n2-highcpu-64 | 64 | 64 | Intel | 2.7825 | 1625.41 SUD | ||||
| n2-highmem-64 | 64 | +448.00 | 512 | Intel SAP HANA | +2.30 | 5.0842 | +1344.49 | 2969.9 SUD | Compare |
| n2-standard-64 | 64 | +192.00 | 256 | Intel SAP | +0.99 | 3.769 | +576.21 | 2201.62 SUD | Compare |
| n2d-highcpu-64 | 64 | = | 64 | AMD | -0.46 | 2.3258 | -266.78 | 1358.63 SUD | Compare |
| n2d-highmem-64 | 64 | +448.00 | 512 | AMD SAP | +1.47 | 4.2496 | +857.00 | 2482.41 SUD | Compare |
| n2d-standard-64 | 64 | +192.00 | 256 | AMD SAP | +0.37 | 3.1503 | +214.84 | 1840.25 SUD | Compare |